Triple
T1458816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Tosh |
E31459
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | EMI |
E108006
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: EMI | Statement: [Peter Tosh, recordLabel, EMI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EMI Context triple: [Peter Tosh, recordLabel, EMI]
-
A.
EMI
chosen
EMI was a major British music company and record label group known for signing and distributing many of the world’s leading recording artists.
-
B.
EMD
EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
-
C.
EMD
EMD is the vehicle registration code assigned to the German town of Emden.
-
D.
Minos EMI
Minos EMI is a Greek record label and music company known for producing and distributing a wide range of Greek and international music.
-
E.
EMU
EMU is the European Union’s framework for coordinating economic policy and managing the single currency, the euro, among participating member states.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59c1c288190be08064f2d351b2b |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e786a208190a57c4e1878c66517 |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 8 p.m.